Trait

zio.kafka.consumer.Consumer

Service

Related Doc: package Consumer

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trait Service[R, K, V] extends AnyRef

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Abstract Value Members

  1. abstract def assignment: RIO[Blocking, Set[TopicPartition]]

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    Returns the topic-partitions that this consumer is currently assigned.

    Returns the topic-partitions that this consumer is currently assigned.

    This is subject to consumer rebalancing, unless using a manual subscription.

  2. abstract def beginningOffsets(partitions: Set[TopicPartition], timeout: Duration = Duration.Infinity): RIO[Blocking, Map[TopicPartition, Long]]

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  3. abstract def committed(partitions: Set[TopicPartition], timeout: Duration = Duration.Infinity): RIO[Blocking, Map[TopicPartition, Option[OffsetAndMetadata]]]

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    Retrieve the last committed offset for the given topic-partitions

  4. abstract def consumeWith[RC](subscription: Subscription, commitRetryPolicy: Schedule[Clock, Any, Any] = ...)(f: (K, V) ⇒ URIO[RC, Unit]): ZIO[R with RC with Blocking with Clock, Throwable, Unit]

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    See Consumer.consumeWith.

  5. abstract def endOffsets(partitions: Set[TopicPartition], timeout: Duration = Duration.Infinity): RIO[Blocking, Map[TopicPartition, Long]]

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  6. abstract def listTopics(timeout: Duration = Duration.Infinity): RIO[Blocking, Map[String, List[PartitionInfo]]]

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  7. abstract def offsetsForTimes(timestamps: Map[TopicPartition, Long], timeout: Duration = Duration.Infinity): RIO[Blocking, Map[TopicPartition, OffsetAndTimestamp]]

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  8. abstract def partitionedStream: ZStream[Clock with Blocking, Throwable, (TopicPartition, ZStreamChunk[R, Throwable, CommittableRecord[K, V]])]

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    Create a stream with messages on the subscribed topic-partitions by topic-partition

    Create a stream with messages on the subscribed topic-partitions by topic-partition

    The top-level stream will emit new topic-partition streams for each topic-partition that is assigned to this consumer. This is subject to consumer rebalancing, unless a manual subscription was made. When rebalancing occurs, new topic-partition streams may be emitted and existing streams may be completed.

    All streams can be completed by calling stopConsumption.

  9. abstract def partitionsFor(topic: String, timeout: Duration = Duration.Infinity): RIO[Blocking, List[PartitionInfo]]

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  10. abstract def plainStream: ZStreamChunk[R with Clock with Blocking, Throwable, CommittableRecord[K, V]]

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    Create a stream with all messages on the subscribed topic-partitions

    Create a stream with all messages on the subscribed topic-partitions

    The stream will emit messages from all topic-partitions interleaved. Per-partition record order is guaranteed, but the topic-partition interleaving is non-deterministic.

    The stream can be completed by calling stopConsumption.

  11. abstract def position(partition: TopicPartition, timeout: Duration = Duration.Infinity): RIO[Blocking, Long]

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  12. abstract def stopConsumption: UIO[Unit]

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    Stops consumption of data, drains buffered records, and ends the attached streams while still serving commit requests.

  13. abstract def subscribe(subscription: Subscription): RIO[Blocking, Unit]

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  14. abstract def subscribeAnd(subscription: Subscription): SubscribedConsumer[R, K, V]

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  15. abstract def subscription: RIO[Blocking, Set[String]]

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  16. abstract def unsubscribe: RIO[Blocking, Unit]

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  19. final def wait(arg0: Long): Unit

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